Torrential Flood Water Management: Rainwater Harvesting through Relation Based Dam Suitability Analysis and Quantification of Erosion Potential

In this study, a relation-based dam suitability analysis (RDSA) technique is developed to identify the most suitable sites for dams. The methodology focused on a group of the most important parameters/indicators (stream order, terrain roughness index, slope, multiresolution valley bottom flatness in...

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Main Authors: Bilal Ahmad Munir, Sajid Rashid Ahmad, Raja Rehan
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/10/1/27
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spelling doaj-0e6ad349a66f47fb9154ea1e120e162b2021-01-13T00:05:43ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-01-0110272710.3390/ijgi10010027Torrential Flood Water Management: Rainwater Harvesting through Relation Based Dam Suitability Analysis and Quantification of Erosion PotentialBilal Ahmad Munir0Sajid Rashid Ahmad1Raja Rehan2College of Earth and Environmental Sciences, University of the Punjab, Lahore 54000, PakistanCollege of Earth and Environmental Sciences, University of the Punjab, Lahore 54000, PakistanPunjab Irrigation Department, Irrigation Secretariat, Lahore 54000, PakistanIn this study, a relation-based dam suitability analysis (RDSA) technique is developed to identify the most suitable sites for dams. The methodology focused on a group of the most important parameters/indicators (stream order, terrain roughness index, slope, multiresolution valley bottom flatness index, closed depression, valley depth, and downslope gradient difference) and their relation to the dam wall and reservoir suitability. Quantitative assessment results in an elevation-area-capacity (EAC) curve substantiating the capacity determination of selected sites. The methodology also incorporates the estimation of soil erosion (SE) using the Revised Universal Soil Loss Equation (RUSLE) model and sediment yield at the selected dam sites. The RDSA technique identifies two suitable dam sites (A and B) with a maximum collective capacity of approximately 1202 million m<sup>3</sup>. The RDSA technique was validated with the existing dam, Gomal-Zam, in the north of Sanghar catchment, where RDSA classified the Gomal-Zam Dam in a very high suitability class. The SE estimates show an average of 75 t-ha<sup>−1</sup>y<sup>−1</sup> of soil loss occurs in the study area. The result shows approximately 298,073 and 318,000 tons of annual average sediment yield (SY) will feed the dam A and B respectively. The SE-based sediment yield substantiates the approximate life of Dam-A and Dam-B to be 87 and 90 years, respectively. The approach is dynamic and can be applied for any other location globally for dam site selection and SE estimation.https://www.mdpi.com/2220-9964/10/1/27flash flooddam suitabilityRUSLEsoil erosionsediment yield
collection DOAJ
language English
format Article
sources DOAJ
author Bilal Ahmad Munir
Sajid Rashid Ahmad
Raja Rehan
spellingShingle Bilal Ahmad Munir
Sajid Rashid Ahmad
Raja Rehan
Torrential Flood Water Management: Rainwater Harvesting through Relation Based Dam Suitability Analysis and Quantification of Erosion Potential
ISPRS International Journal of Geo-Information
flash flood
dam suitability
RUSLE
soil erosion
sediment yield
author_facet Bilal Ahmad Munir
Sajid Rashid Ahmad
Raja Rehan
author_sort Bilal Ahmad Munir
title Torrential Flood Water Management: Rainwater Harvesting through Relation Based Dam Suitability Analysis and Quantification of Erosion Potential
title_short Torrential Flood Water Management: Rainwater Harvesting through Relation Based Dam Suitability Analysis and Quantification of Erosion Potential
title_full Torrential Flood Water Management: Rainwater Harvesting through Relation Based Dam Suitability Analysis and Quantification of Erosion Potential
title_fullStr Torrential Flood Water Management: Rainwater Harvesting through Relation Based Dam Suitability Analysis and Quantification of Erosion Potential
title_full_unstemmed Torrential Flood Water Management: Rainwater Harvesting through Relation Based Dam Suitability Analysis and Quantification of Erosion Potential
title_sort torrential flood water management: rainwater harvesting through relation based dam suitability analysis and quantification of erosion potential
publisher MDPI AG
series ISPRS International Journal of Geo-Information
issn 2220-9964
publishDate 2021-01-01
description In this study, a relation-based dam suitability analysis (RDSA) technique is developed to identify the most suitable sites for dams. The methodology focused on a group of the most important parameters/indicators (stream order, terrain roughness index, slope, multiresolution valley bottom flatness index, closed depression, valley depth, and downslope gradient difference) and their relation to the dam wall and reservoir suitability. Quantitative assessment results in an elevation-area-capacity (EAC) curve substantiating the capacity determination of selected sites. The methodology also incorporates the estimation of soil erosion (SE) using the Revised Universal Soil Loss Equation (RUSLE) model and sediment yield at the selected dam sites. The RDSA technique identifies two suitable dam sites (A and B) with a maximum collective capacity of approximately 1202 million m<sup>3</sup>. The RDSA technique was validated with the existing dam, Gomal-Zam, in the north of Sanghar catchment, where RDSA classified the Gomal-Zam Dam in a very high suitability class. The SE estimates show an average of 75 t-ha<sup>−1</sup>y<sup>−1</sup> of soil loss occurs in the study area. The result shows approximately 298,073 and 318,000 tons of annual average sediment yield (SY) will feed the dam A and B respectively. The SE-based sediment yield substantiates the approximate life of Dam-A and Dam-B to be 87 and 90 years, respectively. The approach is dynamic and can be applied for any other location globally for dam site selection and SE estimation.
topic flash flood
dam suitability
RUSLE
soil erosion
sediment yield
url https://www.mdpi.com/2220-9964/10/1/27
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AT sajidrashidahmad torrentialfloodwatermanagementrainwaterharvestingthroughrelationbaseddamsuitabilityanalysisandquantificationoferosionpotential
AT rajarehan torrentialfloodwatermanagementrainwaterharvestingthroughrelationbaseddamsuitabilityanalysisandquantificationoferosionpotential
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